bulktrajblend-trajectory-interpolation
This skill bridges gaps in single-cell developmental trajectories by generating synthetic intermediate cells from bulk RNA-seq data. It trains a beta-VAE to create cells and a GNN to identify overlapping communities, then interpolates missing states to improve trajectory continuity. The workflow is detailed with specific code examples and troubleshooting tips.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install starlitnightly-omicverse-bulk-trajblend-interpolation
Repository
Skill path: .claude/skills/bulk-trajblend-interpolation
This skill bridges gaps in single-cell developmental trajectories by generating synthetic intermediate cells from bulk RNA-seq data. It trains a beta-VAE to create cells and a GNN to identify overlapping communities, then interpolates missing states to improve trajectory continuity. The workflow is detailed with specific code examples and troubleshooting tips.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Full Stack.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install bulktrajblend-trajectory-interpolation into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding bulktrajblend-trajectory-interpolation to shared team environments
- Use bulktrajblend-trajectory-interpolation for ai/ml workflows
Works across
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Sub-skills: 0.
Aggregator: No.